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A Decorrelation Constant Modulus Algorithm for Multitarget Separation Using Adaptive Arrays

机译:解相关常数模量的自适应阵列多目标分离算法

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摘要

In this paper, an adaptive digital filter algorithm is presented to optimize the signal-to-noise ratio of an antenna array with multiuser signal inputs. These synchronous communication signals have constant envelope property and are transmitted through a Multiple-Input/Multiple-Output (MIMO) linear channel. This Multiuser Constant Modulus Algorithm (MU-CMA) using an antenna array can compensate for both Interuser Interference (IUI) and Intersymbol Interference (ISI). The method is derived by minimizing the cost function of the constant modulus signals as well as cross-correlations between them. The simulation result in this paper shows the performance of this algorithm.
机译:在本文中,提出了一种自适应数字滤波器算法,以优化具有多用户信号输入的天线阵列的信噪比。这些同步通信信号具有恒定的包络特性,并通过多输入/多输出(MIMO)线性通道进行传输。这种使用天线阵列的多用户常数模算法(MU-CMA)可以补偿用户间干扰(IUI)和符号间干扰(ISI)。通过最小化恒定模量信号及其之间的互相关的成本函数来推导该方法。本文的仿真结果表明了该算法的性能。

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